Collaborative Task Planning

Collaborative Task Planning is a formal computational framework that enables human-robot teams to jointly establish, coordinate, and adapt sequences of actions and resource allocations in real-time, distinguishing itself from conventional task planning by explicitly integrating mutual awareness, adaptive role negotiation, and shared intentionality to manage interdependent activities in dynamic environments.

218

Publications

11.9K

Citations

688

Authors

222

Institutions

Publications per year

2017–2026

95

Authors

688

  1. RA
    Rachid Alami

    Laboratoire d'Analyse et d'Architecture des Systèmes, France

    10 publications · 339 citations

    10

    h-index

  2. JS
    Julie Shah

    Massachusetts Institute of Technology, United States

    6 publications · 531 citations

    6

    h-index

  3. LW
    Lihui Wang

    KTH Royal Institute of Technology, Sweden

    5 publications · 501 citations

    5

    h-index

  4. BJ
    Barbara J. Grosz

    Harvard University, United States

    5 publications · 1.2K citations

    5

    h-index

  5. CB
    Cynthia Breazeal

    Massachusetts Institute of Technology, United States

    4 publications · 363 citations

    4

    h-index

1–5 of 688

Venues

  1. Robotics and Computer-Integrated Manufacturing

    6 publications · 356 citations

    7

    h-index

  2. Autonomous Robots

    5 publications · 154 citations

    6

    h-index

  3. IEEE Robotics and Automation Letters

    5 publications · 525 citations

    6

    h-index

  4. arXiv (Cornell University)

    Repository · 5 publications · 85 citations

    5

    h-index

  5. CIRP Annals

    4 publications · 412 citations

    4

    h-index

1–5